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Titlebook: Nano, Quantum and Molecular Computing; Implications to High Sandeep K. Shukla,R. Iris Bahar Book 2004 Springer Science+Business Media New Y

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書(shū)目名稱Nano, Quantum and Molecular Computing
副標(biāo)題Implications to High
編輯Sandeep K. Shukla,R. Iris Bahar
視頻videohttp://file.papertrans.cn/661/660615/660615.mp4
圖書(shū)封面Titlebook: Nano, Quantum and Molecular Computing; Implications to High Sandeep K. Shukla,R. Iris Bahar Book 2004 Springer Science+Business Media New Y
描述One of the grand challenges in the nano-scopic computing era is guarantees of robustness. Robust computing system design is confronted with quantum physical, probabilistic, and even biological phenomena, and guaranteeing high reliability is much more difficult than ever before. Scaling devices down to the level of single electron operation will bring forth new challenges due to probabilistic effects and uncertainty in guaranteeing ‘zero-one‘ based computing. Minuscule devices imply billions of devices on a single chip, which may help mitigate the challenge of uncertainty by replication and redundancy. However, such device densities will create a design and validation nightmare with the shear scale. .The questions that confront computer engineers regarding the current status of nanocomputing material and the reliability of systems built from such miniscule devices, are difficult to articulate and answer. We have found a lack of resources in the confines of a single volume that at least partially attempts to answer these questions. .We believe that this volume contains a large amount of research material as well as new ideas that will be very useful for some one starting research in
出版日期Book 2004
關(guān)鍵詞Hardware; architecture; computer; logic; material; nano-scale; quantum computing; transistor
版次1
doihttps://doi.org/10.1007/b116438
isbn_softcover978-1-4419-5466-4
isbn_ebook978-1-4020-8068-5
copyrightSpringer Science+Business Media New York 2004
The information of publication is updating

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Obtaining Quadrillion-Transistor Logic Systems Despite Imperfect Manufacture, Hardware Failure, and y drastically advance logic system manufacture. At some point in the future, possibly within 20 years, logic designers may have access to a billion times more switches than they do now. It is sometimes useful to allow larger milestones such as this to determine some of the directions of contemporary
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A Probabilistic-Based Design for Nanoscale Computation becomes a central research priority. It is expected that nanoarchitectures will confront devices and interconnections with high inherent defect rates, which motivates the search for new architectural paradigms. In this chapter, we exam probabilistic-based design methodologies for designing nanoscal
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Tools and Techniques for Evaluating Reliability Trade-Offs for Nano-ArchitecturesAccording to many experts, it is expected that nano-scale devices and interconnections will introduce unprecedented level of defects in the substrates and architectural designs need to accommodate the uncertainty inherent at such scales. This consideration motivates the search for new architectural
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Challenges in Reliable Quantum Computing There are several challenges in building a large-scale quantum computer - fabrication, verification, and architecture. The power of quantum computing comes from the ability to store a complex state in a single bit. This also what makes quantum systems difficult to build, verify, and design. Quantum
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Origins and Motivations for Design Rules in QCAe near-to-midterm. It will also explain a systems-level research component that complements work in physical science. One objective of the systems-level track is to compile a set of design rules to not only help system designers become more involved with the evolution of emergent, nano-scale devices
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Partitioning and Placement for Buildable QCA Circuitsrge configuration in chemical molecules. It has the potential to allow for circuits and systems with functional densities that are better than end of the roadmap for CMOS, but also imposes new constraints on system designers. In this article, we present the first partitioning and placement algorithm
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